Journal
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 482, Issue 4, Pages 4883-4905Publisher
OXFORD UNIV PRESS
DOI: 10.1093/mnras/sty2964
Keywords
cosmological parameters; large-scale structure of Universe
Categories
Funding
- Departments of Excellence 2018-2022 Grant - Italian Ministero dell'Istruzione, dell'Universita e della Ricerca (MIUR) [L. 232/2016]
- research grant The AnisotropicDarkUniverse, under the program CSP-UNITO Research for the Territory 2016 by Compagnia di Sanpaolo [CSTO161409]
- University of Torino
- research grant TAsP (Theoretical Astroparticle Physics) - Istituto Nazionale di Fisica Nucleare (INFN)
- FRA2015 grant from MIUR PRIN 2015 Cosmology and Fundamental Physics: Illuminating the Dark Universe with Euclid of the INFN InDark research group
- Consorzio per la Fisica di Trieste of the INFN InDark research group
- Spanish Ministerio de Economia y Competitividad (MINECO) [ESP2015-66861]
- Spanish Ramon y Cajal MICINN program
- Transregional Collaborative Research Centre TR33 The Dark Universe of the German Research Foundation (DFG)
- MINECO [AYA2013-46886, AYA2014-58308, RYC-2015-18078, ESP2015-66861-C3-1-R, AYA2012-39702-C02-01]
- UK Space Agency [ST/K00283X/1]
- MINECO under the Severo Ochoa program [SEV-2015-0548]
- Generalitat de Catalunya [2017-SGR-885]
- Jet Propulsion Laboratory, California Institute of Technology
- National Aeronautics and Space Administration
- NASA [ROSES 13-ATP13-0019, ROSES 14-MIRO-PROs-0064, ROSES 12-EUCLID12-0004]
- JAE program grant from the Spanish National Science Council (CSIC)
- Canadian Natural Sciences and Engineering Research Council (NSERC)
- MINECO/FEDER (Spain) [AYA2015-63810-P]
- MareNostrum supercomputer -Barcelona Supercomputing Center (BSC-CNS) [AECT-2016-3-0015]
- Canada Foundation for Innovation under Compute Canada
- Government of Ontario
- Ontario Research Fund - Research Excellence
- University of Toronto
- Red Espanola de Supercomputacion (RES)
- [AYA2015-71825]
- STFC [ST/N000668/1] Funding Source: UKRI
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We compare the measurements of the bispectrum and the estimate of its covariance obtained from a set of different methods for the efficient generation of approximate dark matter halo catalogues to the same quantities obtained from full N-body simulations. To this purpose we employ a large set of 300 realizations of the same cosmology for each method, run with matching initial conditions in order to reduce the contribution of cosmic variance to the comparison. In addition, we compare how the error on cosmological parameters such as linear and non-linear bias parameters depends on the approximate method used for the determination of the bispectrum variance. As general result, most methods provide errors within 10 per cent of the errors estimated from N-body simulations. Exceptions are those methods requiring calibration of the clustering amplitude but restrict this to 2-point statistics. Finally we test how our results are affected by being limited to a few hundreds measurements from N-body simulation by comparing with a larger set of several thousands of realizations performed with one approximate method.
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